Findings of a new study suggest more research needs to be done to identify the major factors contributing to the rate of cognitive decline associated with aging.
Deep learning technology can accurately reflect a person's risk of cognitive decline and Alzheimer's disease based on brain age.
Findings reveal how a person's cognitive performance prior to viral exposure can predict the severity of symptoms once the virus develops.
While exercise and mindfulness help older adults stay physically fit and mentally well, they may not have such a strong beneficial impact on cognition as previously believed.
Persistent pain, which is common in those over the age of 65, was linked to meaningful declines in physical function and well-being.
A novel deep learning method that uses graph convolutional neural networks (gCNNs) can predict cognitive function based on the brain's size and structure. The algorithm may provide insights into the relationship between brain morphology and different cognitive functions, as well as declines in cognitive function.
An intranasally delivered oxytocin derivative helped improve cognitive function and reduced cognitive impairment in mouse models of Alzheimer's disease.
Blood metabolites related to sugars were associated with older adults' global cognitive function across different races and ethnicities.
In young children, poor nutrition coupled with living in a chaotic environment may be detrimental to cognitive and executive function.
People who are more determined, or express more "grit" have different patterns of cognitive performance, researchers say. However, having more grit does not necessarily translate into having better cognitive performance.
For some, cognitive performance on tasks improves while walking via a change in the use of neural resources.
Having three or more children was associated with an increased risk of cognitive decline later in life.
